dbs-theory-grounding SKILL.md skillA
dbs-theory-grounding from shenyuannext/wepr-growth-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add shenyuannext/wepr-growth-skills/dbs-theory-grounding@git:20260928.9ff7fc2Pins git:20260928.9ff7fc2 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- shenyuannext/wepr-growth-skills
- Path
skills/dbs-theory-grounding/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260928.9ff7fc2, committed Sep 28, 2026
- Size
- 16,937 bytes
- Repository stars
- 7
- License
- MIT
理论溯源与案例重释。审查 PPT、课程、文案或方法论中的经验判断，先判断命题是否成立，再匹配并核实可信理论，用该理论重释案例并标明边界。适用于给自创理论找依据、给 PPT 补理论来源、判断一句话能否上升为理论、检查是否硬套名人；聚焦单次理论锚定，不默认展开历史同构研究。.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# dbs-theory-grounding：理论溯源与案例重释 任务目标：把未经检验的经验判断处理成有来源层级、有边界、能解释案例的理论表达。先审命题，再选理论；先判断核实是否必要，再决定使用已有知识、本地资料或外部来源。 ## 硬性原则 1. **先审命题。** 提取原判断、案例和使用场景，检查绝对化、因果跳跃、定义偷换、以偏概全和反向推断。 2. **匹配度优先。** 理论必须解释案例里的核心机制。名气不能弥补理论错配。 3. **保留有效部分。** 案例成立而结论过度时，缩小结论边界；不要为了换理论整段推翻。 4. **人物约束服从任务需要。** 用户要求「已故名人」时，只把「确为已故」和相关专业身份作为入选条件，不主动补充出生年、去世年与国籍变化。已有知识足以高置信判断时可以离线完成并标注核实层级；存在争议且会影响入选资格时，再把外部核实视为必要步骤。 5. **默认离线。** 先依据用户提供的材料、当前对话、本地资料和模型已有知识完成命题审查与理论匹配。联网不是默认研究步骤，不能因为想补充人物、理论、原话、页码或候选数量就自动联网。 6. **按结论需要核实。** 只有外部事实会实质改变结论，或用户明确要求核实、来源、原话、页码、首创归属或最新信息时，才进入外部核实。用户要求不联网时，禁止联网；无法离线确认的细节标为「尚未核实」，不得以核实为由违背用户限制。 7. **区分经典表述与逐字引文。** 用户要求「经典理论」「经典表述」「找理论依据」，默认允许交付基于已有知识的通行概念和明确标注的中文意译，不等于要求联网查找逐字原话。只有用户明确要求「原话」「准确出处」「页码」或逐字引用时，才把引文核实视为任务必要部分。 8. **后台分层，前台只给中文。** 研究时区分外文原话、忠实翻译和中文意译；未外部核验原文时，优先给明确标注的中文意译，不得把模型记忆中的近似措辞包装成逐字引文。给课程老师、客户或其他当事人的文档不展示外文原话。 9. **给出边界。** 至少写出一个适用场景、一个不适用场景和一个可能推翻当前解释的反例。 10. **拒绝硬套。** 找不到高匹配理论时，直接说明「暂未找到足够匹配的理论」，保留经验判断或改找学派、研究结论。 11. **禁止编造。** 无法核实页码、原话或首创关系时，写明核实状态，不补写推测信息。 12. **区分研究过程与交付文档。** 候选评分、文件检查和检索过程用于内部判断。给课程老师、客户或其他当事人看的版本默认从「总体判断」开始，只保留简短的理论选择说明，把篇幅留给入选理论、案例解释和修改建议。 13. **控制理论数量。** 同一组案例默认只保留解释力最强的 1 个主理论。辅助理论必须解释主理论无法覆盖的新机制；如果只能得到「表达要清楚」「内容要有价值」一类常识性结论，直接删除。 …
Read the whole file at its exact version.
How to install
mdr add shenyuannext/wepr-growth-skills/dbs-theory-grounding@sha256:4c919ccebeb9badeThe line at the top of this page pins the label git:20260928.9ff7fc2, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_alaj4oh5jrlzs7zy)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 28, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (16937 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
shenyuannext/wepr-growth-skills · 7 stars · license MIT · pushed 2026-10-28 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_alaj4oh5jrlzs7zy GET https://markdownregistry.com/api/v1/resolve?ref=shenyuannext/wepr-growth-skills/dbs-theory-grounding GET https://markdownregistry.com/api/v1/blob/4c919ccebeb9bade10d4d5018501bc26148e3d2a829e4c50e1471cb0932e704d
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.